6 citations · 17 across the 6 of their papers we have counts for
10 papers
LEVIO: Lightweight Embedded Visual Inertial Odometry for Resource-Constrained Devices
Jonas Kühne, Christian Vogt, Michele Magno +1
Accurate, infrastructure-less sensor systems for motion tracking are essential for mobile robotics and augmented reality (AR) applications. The most popular state-of-the-art visual…
A Non-Invasive Path to Animal Welfare: Contactless Vital Signs and Activity Monitoring of In-Vivo Rodents Using a mm-Wave FMCW Radar
Tommaso Polonelli, Manuel Glahn, Stefano Kron +3
Monitoring physiological and behavioral parameters of laboratory rodents is fundamental for biomedical research, yet conventional techniques often rely on invasive sensors or frequ…
Evaluating Electric Charge Variation Sensors for Camera-free Eye Tracking on Smart Glasses
Alan Magdaleno, Pietro Bonazzi, Tommaso Polonelli +1
Contactless Electrooculography (EOC) using electric charge variation (QVar) sensing has recently emerged as a promising eye-tracking technique for wearable devices. QVar enables lo…
Efficient and Accurate Downfacing Visual Inertial Odometry
Jonas Kühne, Christian Vogt, Michele Magno +1
Visual Inertial Odometry (VIO) is a widely used computer vision method that determines an agent's movement through a camera and an IMU sensor. This paper presents an efficient and…
EdgeCodec: Onboard Lightweight High Fidelity Neural Compressor with Residual Vector Quantization
Benjamin Hodo, Tommaso Polonelli, Amirhossein Moallemi +2
We present EdgeCodec, an end-to-end neural compressor for barometric data collected from wind turbine blades. EdgeCodec leverages a heavily asymmetric autoencoder architecture, tra…
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks
Quynh Nguyen-Phuong Vu, Luciano Sebastian Martinez-Rau, Yuxuan Zhang +4
Keyword spotting (KWS) is an essential function that enables interaction with ubiquitous smart devices. However, in resource-limited devices, KWS models are often static and can th…